OpenAI is seeking a Hardware Security Engineer with expertise in Trusted Computing and Cryptography to safeguard our advanced AI infrastructure. In this role, you'll develop robust hardware security measures to protect sensitive data and ensure the integrity of our AI systems against emerging threats.

OpenAI is at the forefront of artificial intelligence research and deployment, and we're building the future of safe and reliable AI systems. As a Hardware Security Engineer specializing in Trusted Computing and Cryptography, you will play a critical role in enhancing the security posture of our hardware platforms that underpin AI models and infrastructure.

Your responsibilities will include designing and implementing hardware-based security solutions, such as secure enclaves and cryptographic modules, to protect against physical and remote attacks. You'll collaborate with software engineers, cryptographers, and AI researchers to integrate trusted computing principles into our systems, ensuring data confidentiality, integrity, and availability.

Key projects may involve developing hardware root of trust mechanisms, analyzing vulnerabilities in supply chains, and optimizing cryptographic operations for high-performance AI workloads. This role requires a deep understanding of both theoretical security concepts and practical hardware engineering.

If you're passionate about securing the next generation of AI technologies and have a track record of innovative security solutions, join us in making AI safer for everyone.

• Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, or a related field
• 5+ years of experience in hardware security, with a focus on trusted computing environments and cryptographic implementations
• Proficiency in hardware design tools (e.g., Verilog, VHDL) and security protocols like TPM, Secure Boot, and side-channel attack mitigation
• Strong knowledge of cryptographic algorithms (e.g., AES, RSA, ECC) and their hardware acceleration
• Experience with embedded systems security and firmware development
• Excellent problem-solving skills and ability to collaborate in a fast-paced research environment
• Familiarity with industry standards such as FIPS, Common Criteria, or NIST guidelines

• Competitive compensation package with equity options
• Comprehensive health, dental, and vision insurance
• Flexible remote work options and generous paid time off
• Opportunities for professional development and conference attendance
• Access to state-of-the-art tools and resources in AI research
• Collaborative and innovative work culture at the forefront of AI technology